White-space models for offline Arabic handwriting recognition

Philippe Dreuw, Stephan Jonas, Hermann Ney

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

37 Zitate (Scopus)


We propose to explicitly model white-spaces for Arabic handwriting recognition within different writing variants. Position-dependent character shapes in Arabic handwriting allow for large white-spaces between characters even within words. Here, a separate character model for white-spaces in combination with a lexicon using different writing variants and character model length adaptation is proposed. Current handwriting recognition systems model the white-spaces implicitly within the character models leading to possibly degraded models, or try to explicitly segment the Arabic words into pieces of Arabic words being prone to segmentation errors. Several white-space modeling approaches are analyzed on the well known IFN/ENIT database and outperform the best reported error rates.

Titel2008 19th International Conference on Pattern Recognition, ICPR 2008
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781424421756
PublikationsstatusVeröffentlicht - 2008
Extern publiziertJa


NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651


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